Dataset reveals how French civil court rulings respond to legal complaints
A Grammar of French Civil Cassation: A Ground-Level Dataset and Tool
Computation and LanguageArtificial IntelligenceComputers and Society
Summary
Legal appeals in the French Court of Cassation decide cases without further appeal, making their rulings very important. The authors collected over 120,000 pairs of legal complaints and court responses from civil cases over nearly a decade and organized them by legal categories. This helps show which kinds of complaints succeed and how legal arguments and references change over time. They also provide the data, tools, and an interactive way to explore these judicial patterns.
What this means in practice
- •For law firms: Use the dataset to improve drafting legal appeals by understanding past court responses to specific complaints.
- •For legal technology developers: Create tools that analyze court decisions and predict likely outcomes based on historical reasoning patterns in civil cassation.$Commercial implications: Enables development of predictive legal software for appeals based on a large annotated dataset covering a decade of rulings.
Authors
Avrile Floro, Tamara Dhorasoo, Nils Holzenberger, Thomas Le Goff, Tiphaine Viard, Maria Boritchev
Abstract
This paper presents a dataset of 121,536 ground-reasons pairs across 86,464 rulings of the five civil chambers of the French Court of Cassation (2016-2025). An appeal on points of law cannot itself be appealed and often decides a case for good. Understanding how the Court rules is thus crucial and can help lawyers who draft those appeals. Inside a ruling, every ground of appeal (a distinct legal complaint against the appealed decision) has its own answer from the Court. This answer is called the reasons and it belongs to one of a few doctrinal families. Using a deterministic pipeline, we pair each ground with its reasons and attach the pair to its family, according to the established French taxonomy. We obtain a descriptive grammar of civil cassation that shows which grounds succeed, which legal texts they refer to, and how both evolve over the decade. We release the dataset, the code and an interactive consultation tool.